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Dear LOR user,

Thank you for being a big part of this community. To better support the initiatives around open educational resources in the state of Michigan, all resources on the Michigan Virtual Learning Object Repository (LOR) are being moved to #GoOpen Michigan (link is external) on September 30th, 2018. During the transition, our LOR will be moved to an archived state, not allowing new user registration or new content to be added. An email with more details was sent to registered users of the LOR in September. To make use of the great resources on the platform, we encourage you to create an account and add your own new resources to the #GoOpen Michigan platform (link is external).

Geography

This lesson is a preview of the study of the continent of Africa. Students will see many of the physical and human features of this vast continent.

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The Tapestry Segmentation from ESRI divides the US population into 67 different “market segments” - that is, groups of people who make about the same amount of money, live similar lifestyles, and have common preferences. This enormously rich set of data can be used to better understand communities around the country.

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Since the collapse of the Soviet Union in 1991, the Ukraine has been an independent democratic nation. Given its location between Europe and Russia, it often must balance the political tensions between Russia and the West.

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In this project, students perform a viewshed analysis to determine the visual impact of a wind farm with four large turbines in a study area in England. A viewshed is the area visible from a specific vantage point. Viewshed analysis shows areas where observers can see an object or objects, or conversely, areas that can be seen from those objects.

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Explore urban areas around the world, including their layout, size, and other factors.

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Students will analyze how the market areas for specific chain stores change based on the type of store.

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Explore factors that define levels of development.

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Students will explore the spatial patterns of the Human Development Index (HDI) to identify regional patterns and causal factors in the data.

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Students will explore global climatic datasets to analyze the factors that constrain and enable agricultural options.

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This activity focuses on the different types of land use found in rural landscapes.

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